Non-thermal ablation of rabbit liver VX2 tumor by pulsed high intensity focused ultrasound with ultrasound contrast agent:Pathological characteristics

瞄准：为了调查非热的损坏的病理学的特征，由搏动的高紧张导致了与超声对比代理人(UCA ) 相结合的集中的超声(PHIFU ) ， SonoVue (Bracco 矿泉，米兰，意大利) 在兔子肝 VX2 肿瘤。方法：肝 VX2 肿瘤模型在 20 只兔子被建立，它随机被划分成与超声对比代理人组(PHIFU + UCA 组) 和假冒的组相结合的 PHIFU。在 PHIFU + UCA 组， SonoVue 的 0.2 mL 静脉内地被注入肿瘤，由 ISP 5900 W/cm2 的超声暴露列在后面。兔子在超声暴露以后有天被牺牲。暴露的肿瘤纸巾的标本在轻显微镜和传播电子显微镜下面病理地被获得并且观察。留下的肿瘤纸巾被去请染色的 2,3,5-Triphenyltetrazolium 氯化物(TTC ) 。结果：在染色的 TTC 前，在两个的肿瘤纸巾假冒并且 PHIFU + UCA 组类似于灰色的鱼肉。在染色的 TTC 以后，肿瘤纸巾是一致地染色的红，与在肿瘤织物和正常织物之间的一条清楚的边界。组织学的检查在 PHIFU + UCA 组显示出肿瘤房间损害的符号，与各种各样的尺寸，染色质着边和核固缩的细胞质的液泡。电子显微镜检查揭示了肿瘤房间体积减小，核固缩，染色质着边，拓宽的细胞间隙，在细胞质的高电子密度 apoptotic 身体和液泡的存在。结论：与 UCA 相结合的 PHIFU 的非热的效果能被用来切除兔子肝 VX2 肿瘤。

Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses

Visual cortical prostheses have the potential to restore partial vision. Still limited by the low-resolution visual percepts provided by visual cortical prostheses, implant wearers can currently only ＂see＂ pixelized images, and how to obtain the specific brain responses to different pixelized images in the primary visual cortex（the implant area） is still unknown. We conducted a functional magnetic resonance imaging experiment on normal human participants to investigate the brain activation patterns in response to 18 different pixelized images. There were 100 voxels in the brain activation pattern that were selected from the primary visual cortex, and voxel size was 4 mm × 4 mm × 4 mm. Multi-voxel pattern analysis was used to test if these 18 different brain activation patterns were specific. We chose a Linear Support Vector Machine（LSVM） as the classifier in this study. The results showed that the classification accuracies of different brain activation patterns were significantly above chance level, which suggests that the classifier can successfully distinguish the brain activation patterns. Our results suggest that the specific brain activation patterns to different pixelized images can be obtained in the primary visual cortex using a 4 mm × 4 mm × 4 mm voxel size and a 100-voxel pattern.

An intelligent electronic capsule system for automated detection of gastrointestinal bleeding

In clinical practice,examination of the hemorrhagic spot (HS) remains difficult.In this paper,we describe a remote controlled capsule (RCC) micro-system with an automated,color-based sensor to identify and localize the HS of the gastrointestinal (GI) tract.In vitro testing of the detecting sensor demonstrated that it was capable of discriminating mimetic intestinal fluid (MIF) with and without the hemoglobin (Hb) when the concentration of Hb in MIF was above 0.05 g/ml.Therefore,this RCC system is able to detect the relatively accurate location of the HS in the GI tract.

金融大脑:当金融遇见AI 2.0（英文）

人工智能(AI)是技术革命和产业转型的核心技术。金融智能作为AI 2.0时代新需求之一,引起学术界和工业界广泛关注。在当前充满活力的资本市场中,金融智能展示了快速准确的机器学习能力,可处理复杂数据,并有潜力逐渐成为'金融大脑'。我们对现有金融智能进行总结和综述:首先,论述金融智能概念,阐述其在金融技术领域的地位。其次,介绍金融智能的细分领域,回顾财富管理、风险管理、金融安全、金融智能客服和区块链等领域的最新技术。最后,提出一个称作'金融大脑'(FinBrain)的研究框架,总结了4个开放性问题,即可解释的金融代理和因果关系、不确定性下的感知和预测、风险敏感和稳健决策以及多智能体博弈和机制设计。相信这些研究方向可为AI 2.0在金融领域的发展奠定基础。